Data Science & Engineering Trainee - Red Bull HQ Graduate Program 2026

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Are you ready to take flight with the Red Bull HQ Graduate Program in Austria?
Then this is your chance!
Join us in Salzburg for our 1.5 years Trainee Program starting in July 2026
By providing you with the opportunity to take on responsibility, gain insights into our company, and participate in demanding projects we'll give wiiings to your career.
The Program is designed to take place in a specific team within our Data Science & Engineering world. You can dive in below for more insights into the available positions within the department. We'll ask you about your preferred specific role for your Graduate Program during the course of your application - and also take our recommendation into account. RESPONSIBILITIES

Areas that play to your strengths

All the responsibilities we'll trust you with:Expand all
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ANALYTICS ENGINEERING GRADUATE

Are you excited to turn data into something truly useful? As an Analytics Engineering Graduate, you'll help shape how Red Bull transforms raw information into reliable, meaningful insights that power decisions across the company.
You'll work at the sweet spot between data engineering and data science-building clean, well-structured datasets and making sure our data pipelines run smoothly. Your work helps teams around the world access the information they need, when they need it. You'll collaborate with engineers, analysts, and stakeholders to bring new data sources to life, improve existing workflows, and support the data foundations behind key business and performance projects.
You'll also contribute to projects where machine learning and AI play a role, helping create and maintain the data environment that these models rely on. Most importantly, you'll bring curiosity, a hands-on mindset, and the drive to make data work better for everyone at Red Bull.
To succeed in this role, you'll need a strong mix of technical skills and curiosity, the essentials being:
* SQL & Python: Your go-to tools for working with data, building transformations and solving everyday challenges
* dbt: you understand (or are excited to learn) how to build clean and well-structured data models that others can trust
* Git: you're comfortable applying Software Engineering best practices to your data work, so that changes are transparent, trusted and collaborative
* Understanding of FMCG: You're curious about how data flows in this environment and what insights matter for the business.
* Experience working with LLMs and AI: you understand the basics of how modern AI uses data, and you're ready not only to help build the foundations of how these systems rely on, but also to expand their usage across the organization.
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DATA SCIENCE GRADUATE

Are you ready to leverage your skills to drive smarter, data-driven decision-making and make a tangible impact? We are looking for a motivated Graduate to join our team!
In this role, you'll contribute to global Data Science projects, collaborating closely with team members, business stakeholders, and sports performance experts to build, run, and improve innovative data products that empower smarter decisions across the organization. In addition to driving impactful business-focused initiatives, you will have the opportunity to work on athlete-centric and fan-centric projects, leveraging analytics to enhance performance insights and elevate fan experiences. You'll be responsible for delivering impactful projects within existing Data Science streams, scaling new initiatives, and developing new data products and analyses. By applying statistical reasoning and machine learning algorithms, you'll prepare high-quality datasets and use advanced tools to reduce uncertainty and generate actionable insights for the organization.
To succeed in this role, you should have programming skills in at least one of R, Python, or SQL, with a willingness to learn the other two. Strong data literacy is essential, as you'll need to prepare datasets that ensure their essence and implications for the problem at hand are clear and meaningful. A solid theoretical and applied understanding of statistics, probability, and machine learning algorithms, including tools like regression and visualization, will enable you to solve business problems effectively. Experience working with AI and LLMs is desirable, as these tools can be leveraged to enhance insights and streamline analytical workflows. You should also have an outcome-driven mindset, motivated to create measurable value and demonstrate impact within the organization. Excellent stakeholder management skills are key, as you'll need to build mutually beneficial relationships and collaborate effectively with functional teams across Red Bull.
This role offers you the opportunity to challenge the status quo by introducing innovative methods, fresh ideas, and data-driven solutions that improve decision-making processes.

EXPERIENCE

Your areas of knowledge and expertise

that matter most for this role:

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You're a recent Graduate or you'll graduate with a Bachelor's or Master's degree in Data Science, Data Analytics, Data Engineering, Mathematics, Quantitative Economics or Statistics by July 2026.
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You've gained valuable work experience, ideally in an international context, through internships or beyond and whatever you pursue, it is characterized by passion.
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You're a team player, driven by an entrepreneurial spirit with a "go-getter" mentality when it comes to tackling important projects or taking on new challenges.
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Fluency in English is required for our HQ Graduate Program in Austria. For some positions, German language skills are necessary, and additional language skills are always considered as an advantage.
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THE TEAM

Red Bull Graduate Program: Realise your talent!

The Red Bull Graduate Program is your chance to work hard and shape your future career. Take the opportunity and gain valuable work experience.LEARN MORE
WHERE YOU'LL BE BASED

ElsbethenSalzburg, Austria

AustriaRed Bull Global HeadquartersJOIN THE TEAM

Got what it takes?

In your application we want to see your personal style - what makes you tick and why you think your next opportunity is here with us